DocumentCode
523625
Title
MRF Damper Control Based on Fuzzy Neural Network
Author
Zhanhui, Yan ; Liqiang, Li ; Xiaodong, Li
Author_Institution
Changchun Inst. of Technol., Changchun, China
Volume
2
fYear
2010
fDate
11-12 May 2010
Firstpage
736
Lastpage
739
Abstract
Semi-active fuzzy neural network control is presented in terms of nonlinear characteristic of MRF(magneto-rheological fluid) damper, simulating results show that semi-active control using fuzzy neural network can effectively reduce MRF damper´s vibration displacement and acceleration response. Simulation examples verify the effectiveness and practicability of proposed method, the body and tires´ acceleration response value is only 59.0% of passive control.
Keywords
fuzzy control; fuzzy neural nets; magnetorheology; neurocontrollers; shock absorbers; tyres; vehicle dynamics; vibration control; MRF damper control; magneto-rheological fluid; semiactive fuzzy neural network control; tire acceleration response; vibration displacement; Automatic control; Control systems; Damping; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Neural networks; Shock absorbers; Vehicles; Vibration control; Control; Fuzzy; MRF Damper; Neural Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-7279-6
Electronic_ISBN
978-1-4244-7280-2
Type
conf
DOI
10.1109/ICICTA.2010.551
Filename
5522709
Link To Document